JSON to Pydantic is a tool that lets you convert JSON objects into Pydantic models. JSON is the de-facto data interchange format of the internet, and Pydantic is a library that makes parsing JSON in Python a breeze. To generate a Pydantic model from a JSON object, enter it into the JSON...
代码例子:https://github.com/hassancs91/AI-Tools-Pydantic-Instructor #Replace With Your Output class Titles(BaseModel): titles: List[str] open_ai_client = OpenAI( api_key=openai_api_key, ) instructor.patch(open_ai_client) def structured_generator(openai_model,prompt,custom_moel): result : ...
（2）当Json转XML时，转出的XML会以设置的“根元素名称”作为根节点。使用默认设置Items时，左图的输入...
importjsonfrompydanticimportBaseModel,FieldclassAddress(BaseModel):street:str#pydantic使用类型注解, 来确保使用正确的类型提示来定义字段number:intclassUser(BaseModel):name:straddress:Addressif__name__=="__main__":js='''{"name":"Cristian", "address":{"street":"Sesame","number":122}}'''j=js...
yanyongyuchanged the titleFeature: 为model_dump增加exclude_*参数、添加type_validate_json函数Feb 17, 2024 View detailsyanyongyumerged commita830346intomasterFeb 17, 2024 41 of 43 checks passed yanyongyudeleted thefeature/pydantic-methodsbranchFebruary 17, 2024 15:18 ...
model = models.mlxlm("mlx-community/Hermes-3-Llama-3.1-8B-8bit") # 使用 Pydantic 定义事件结构 class Event(BaseModel): title: str = Field(descriptinotallow="title of the event") location: str start: datetime = Field( default=None, descriptinotallow="date of the event if available in ...
如前所述,我需要弄清楚如何定义稍微复杂一些的工具输入定义,以便LLM能够正确理解这些输入。有趣的是,在实现了一个自定义函数后,我发现了一个现有的LangChain函数,它可以将自定义的Pydantic工具输入定义转换为JSON对象,Mixtral可以识别。 from langchain.tools.render 导入 render_text_description_and_args # 渲染文本...
from pydanja import DANJAResource class TestType(BaseModel): """A simple Pydantic BaseModel""" # We use an extra resource_id to indicate the ID for JSON:API testtype_id: Optional[int] = Field( alias="id", default=None, json_schema_extra={ "resource_id": True } ) name: str descr...
For further information visit https://errors.pydantic.dev/2.7/v/string_type 4.解决方案: JSON 修复: 参考开源项目half-json,该项目对 JSONDecoderError(JSON 解析失败的报错)进行了封装和处理,可以有效修复大部分不完整的 JSON 数据。 以此,我们对比一下修复前后的情况 ...
openai.pydantic_function_tool(Query), ], ) print(completion.choices[0].message.tool_calls[0].function.parsed_arguments) 而且,本机结构化输出支持也可用于response_format 。 frompydanticimportBaseModel fromopenaiimportOpenAI classStep(BaseModel): ...